Generating inter-dependent data streams for recommender systems.
Martin JakominTomaz CurkZoran BosnicPublished in: Simul. Model. Pract. Theory (2018)
Keyphrases
- recommender systems
- data streams
- collaborative filtering
- sliding window
- data sets
- concept drift
- outlier detection
- cold start problem
- information overload
- trust aware
- user profiles
- sensor networks
- distributed data streams
- matrix factorization
- user profiling
- user preferences
- information filtering
- streaming data
- user modeling
- anytime classification
- continuous data streams
- intra class
- change detection
- stream processing
- data sparsity
- cold start
- generation process
- data stream mining
- stream mining
- heavy hitters
- sensor data
- data mining